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Development of the Korean Standardized Antimicrobial Administration Ratio as a Tool for Benchmarking Antimicrobial Use in Each Hospital

Authors
 Bongyoung Kim  ;  Song Vogue Ahn  ;  Dong-Sook Kim  ;  Jungmi Chae  ;  Su Jin Jeong  ;  Young Uh  ;  Hong Bin Kim  ;  Hyung-Sook Kim  ;  Sun Hee Park  ;  Yoon Soo Park  ;  Jun Yong Choi 
Citation
 JOURNAL OF KOREAN MEDICAL SCIENCE, Vol.37(24) : e191, 2022-06 
Journal Title
JOURNAL OF KOREAN MEDICAL SCIENCE
ISSN
 1011-8934 
Issue Date
2022-06
MeSH
Adult ; Anti-Bacterial Agents / therapeutic use ; Anti-Infective Agents* / therapeutic use ; Benchmarking* ; Hospitals ; Humans ; Inpatients
Keywords
Antimicrobial Stewardship ; Benchmarking ; KONAS ; Korea ; SAAR
Abstract
Background: The Korea National Antimicrobial Use Analysis System (KONAS), a benchmarking system for antimicrobial use in hospitals, provides Korean Standardized Antimicrobial Administration Ratio (K-SAAR) for benchmarking. This article describes K-SAAR predictive models to enhance the understanding of K-SAAR, an important benchmarking strategy for antimicrobial usage in KONAS.

Methods: We obtained medical insurance claims data for all hospitalized patients aged ≥ 28 days in all secondary and tertiary care hospitals in South Korea (n = 347) from January 2019 to December 2019 from the Health Insurance Review & Assessment Service. Modeling was performed to derive a prediction value for antimicrobial use in each institution, which corresponded to the denominator value for calculating K-SAAR. The prediction values of antimicrobial use were modeled separately for each category, for all inpatients and adult patients (aged ≥ 15 years), using stepwise negative binomial regression.

Results: The final models for each antimicrobial category were adjusted for different significant risk factors. In the K-SAAR models of all aged patients as well as adult patients, most antimicrobial categories included the number of hospital beds and the number of operations as significant factors, while some antimicrobial categories included mean age for inpatients, hospital type, and the number of patients transferred from other hospitals as significant factors.

Conclusion: We developed a model to predict antimicrobial use rates in Korean hospitals, and the model was used as the denominator of the K-SAAR.
Files in This Item:
T202202346.pdf Download
DOI
10.3346/jkms.2022.37.e191
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Park, Yoon Soo(박윤수)
Jeong, Su Jin(정수진) ORCID logo https://orcid.org/0000-0003-4025-4542
Choi, Jun Yong(최준용) ORCID logo https://orcid.org/0000-0002-2775-3315
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/189380
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